Gilbert Hausmann Award - 2024 - Guilherme Migliato Marega

© 2024 EPFL

© 2024 EPFL

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

EPFL thesis n°10230

Thesis director: Prof. A. Kis

For his groundbreaking contributions to electronics based on 2D semiconductors, in particular the development of logic-in-memory circuits, artificial neural networks and the first large-scale integrated circuit based on MoS2.

My Ph.D. thesis explores the potential of using two-dimensional (2D) materials, specifically monolayer MoS2, in in-memory processors. Traditional computing architectures face challenges in efficiently computing matrix-vector multiplications, crucial for machine learning algorithms. In-memory computing, where operations occur in the memory's physical layer, offers energy benefits. While various materials have been considered, 2D materials remain unexplored. The first part of my thesis demonstrates the fabrication of monolayer MoS2-based floating-gate memories, showcasing their potential as scalable analog memories and memristors. The second part focuses on designing logic-in-memory and analog computing systems, revealing the promising energy efficiency of MoS2 memories compared to silicon counterparts. The final part explores large-scale integration, culminating in a 1024-device in-memory computing core, affirming MoS2 as a promising avenue for advancing in-memory processors.